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What is the difference between materialized view in RisingWave and Flink’s Dynamic Tables? What are the pros and cons of RisingWave compared to Flink SQL?

I'm interested in understanding the distinctions between materialized views in RisingWave and Flink's Dynamic Tables, as well as the advantages and disadvantages of RisingWave in comparison to Flink SQL.

Sc

Scott

Asked on Oct 19, 2022

  1. RisingWave vs Flink SQL:
  • RisingWave is a cloud-native system with decoupled storage and compute, while Flink is a big-data system with coupled storage and compute.
  • RisingWave is fully compatible with PostgreSQL, while Flink SQL adopts big data SQL.
  1. Materialized Views vs Dynamic Tables:
  • RisingWave uses materialized views in a database design, allowing for resource reuse and optimization.
  • Flink's Dynamic Tables may not adopt the decoupled storage-compute design model yet.
  1. Pros and Cons:
  • RisingWave: Cloud-native, easy to use, easy to scale, cost-saving at the SQL level with MV on MV.
  • Flink SQL: Big data design, may require separate resources for related queries.
  1. Use Cases:
  • RisingWave is already deployed in trading firms, crypto, banks, growth stage startups, etc.
Oct 20, 2022Edited by